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Relevant bibliographies by topics / Entity Grid Model

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Journal articles

Academic literature on the topic 'Entity Grid Model'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "Entity Grid Model"

1

Deng, Xingye, Canwei Liu, Hualiang Liu, Lei Chen, Yuyan Guo, and Heding Zhen. "Enhanced Density Peak-Based Power Grid Reactive Voltage Partitioning." Energies 16, no. 17 (2023): 6125. http://dx.doi.org/10.3390/en16176125.

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Clustering-based reactive voltage partitioning is successful in reducing grid cascading faults, by using clustering methods to categorize different power-consuming entities in the power grid into distinct regions. In reality, each power-consuming entity has different electrical characteristics. Additionally, due to the irregular and uneven distribution of the population, the distribution of electricity consumption is also irregular and uneven. However, the existing method neglects the electrical difference among each entity and the irregular and uneven density distribution of electricity consu

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2

Yokono, Hikaru, and Manabu Okumura. "Local Coherence Model Based on Entity Grid Augmented with Text Cohesion." Journal of Natural Language Processing 17, no. 1 (2010): 161–82. http://dx.doi.org/10.5715/jnlp.17.1_161.

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3

Bao, Guang Bin, Ke Xia Zhang, and Hong Zhao. "Research on Information Technology with Modeling and Simulating of Video Grid." Advanced Materials Research 886 (January 2014): 655–59. http://dx.doi.org/10.4028/www.scientific.net/amr.886.655.

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Based on video grid structure, A Video Grid model was established using AnyLogic simulation software. First, the components required for modeling functions are introduced, and then create a model entity, video service processes, animation and analysis chart. Simulation results show that the AnyLogic-based video grid model, the model parameters can be adjusted, not only from the macroscopic dynamic observation of the entire system dynamics, but also from the microscopic measurement of the specified components. The construction of the actual video grid can provide a decision support.

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4

Yin, Didi, Siyuan Cheng, Boxu Pan, Yuanyuan Qiao, Wei Zhao, and Dongyu Wang. "Chinese Named Entity Recognition Based on Knowledge Based Question Answering System." Applied Sciences 12, no. 11 (2022): 5373. http://dx.doi.org/10.3390/app12115373.

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The KBQA (Knowledge-Based Question Answering) system is an essential part of the smart customer service system. KBQA is a type of QA (Question Answering) system based on KB (Knowledge Base). It aims to automatically answer natural language questions by retrieving structured data stored in the knowledge base. Generally, when a KBQA system receives the user’s query, it first needs to recognize topic entities of the query, such as name, location, organization, etc. This process is the NER (Named Entity Recognition). In this paper, we use the Bidirectional Long Short-Term Memory-Conditional Random

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5

Irawan, Dandan. "Positioning Koperasi Melalui Pendekatan ICA Grid Model." Coopetition : Jurnal Ilmiah Manajemen 12, no. 3 (2021): 465–76. http://dx.doi.org/10.32670/coopetition.v12i3.753.

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In order to know whether a cooperative organization is really a cooperative in a true sense, it is necessary to first look at its identity. The identity of a cooperative is a basic characteristic inherent in a cooperative since its birth. It undergoes a very long and crystalline process of growth and maturity, thus placing the cooperative as a business entity that has a positioning for its members. Cooperatives operate in a space that is limited by their identity and by the rules that apply to free market players such as corporations. Cooperatives also play in a competitive market economy and

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6

Luo, Jingtang, Shiying Yao, Changming Zhao, Jie Xu, and Jim Feng. "A Federated Named Entity Recognition Model with Explicit Relation for Power Grid." Computers, Materials & Continua 75, no. 2 (2023): 4207–16. http://dx.doi.org/10.32604/cmc.2023.034439.

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7

Sharma, Dolly, Shailendra Singh, and Mamta Mittal. "Trust Models in Grid Computing: A Review." Recent Patents on Engineering 13, no. 2 (2019): 94–100. http://dx.doi.org/10.2174/1872212112666180427143757.

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Background: Grid computing relates to a pool of resources to be shared by users in Grid Environment. Security of the resources from users and vice-versa is a significant issue. This is where the notion of trust comes into existence. A number of researchers have proposed models for evaluation of trust in grid computing, but they fail to spot one or the other parameters for trust evaluation. The essence of trust models in grid computing is that they offer autonomic trust management. An autonomic trust model has been patented by Z. Yan and C. Prehofer in 2009. Another patent was published by Anna

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8

Mirz, Markus, Lukas Razik, Jan Dinkelbach, et al. "A Cosimulation Architecture for Power System, Communication, and Market in the Smart Grid." Complexity 2018 (2018): 1–12. http://dx.doi.org/10.1155/2018/7154031.

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Smart grids evolve rapidly towards a system that includes components from different domains, which makes interdisciplinary modelling and analysis indispensable. In this paper, we present a cosimulation architecture for smart grids together with a comprehensive data model for the holistic representation of the power system, the communication network, and the energy market. Cosimulation is preferred over a monolithic approach since it allows leveraging the capabilities of existing, well-established domain-specific software. The challenges that arise in a multidomain smart grid cosimulation are i

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9

Song, Niu, and Li. "Individual Behavior Simulation Based on Grid Object and Agent Model." ISPRS International Journal of Geo-Information 8, no. 9 (2019): 388. http://dx.doi.org/10.3390/ijgi8090388.

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For the simplicity of spatial modeling in Cellular Automaton (CA) and the complexity of vector spatial expression in the Multi-Agent System (MAS), the concept of grid object as the spatial model of individual behavior simulation was proposed with spatial information, semantic information, and connection relationship of geographic entity. Then, by incorporating the MAS, the method for individual behavior simulation with the Grid Object and Agent Model (GOAM) was demonstrated. Meanwhile, a prototype system including the three subsystems was developed based on the GOAM, and experiments were condu

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10

Liang, Kun, Baoxian Zhou, Yiying Zhang, Yiping Li, Bo Zhang, and Xiankun Zhang. "PF2RM: A Power Fault Retrieval and Recommendation Model Based on Knowledge Graph." Energies 15, no. 5 (2022): 1810. http://dx.doi.org/10.3390/en15051810.

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Energy saving and emission reduction have become common concerns in countries around the world. In China, with the implementation of the new strategy of “carbon peak and neutrality” and the rapid development of the new smart grid infrastructure, the amount of data of actual power grid dispatching and fault analysis show exponential growth, which has led to phenomena such as poor supervision effectiveness and difficulty in handling faults in the process of grid operation and maintenance. Existing research on retrieval recommendation methods has had a lower accuracy rate at cold-start due to a s

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